MACHINE-LEARNING MODEL TO PREDICT LIKELIHOOD OF EVENTS IMPACTING A PRODUCT

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United States of America Patent

APP PUB NO 20240046347A1
SERIAL NO

17883807

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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A risk-evaluation model is trained using historical data to predict the likelihoods of future events in a future time period that impact a product. The time period may correspond to the time period over which the product is provided. On receiving a request for the product, the model is used to predict the likelihood of an event occurring and a recommendation of whether to provide the product is made to a provider of the product. The product may be provided based on the recommendation.

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Patent Owner(s)

Patent OwnerAddress
TIDE PLATFORM LIMITED1 APPOLD STREET 5TH FLOOR LONDON EC2A 2UT

International Classification(s)

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  • 2022 Application Filing Year
  • G06N Class
  • 11536 Applications Filed
  • 3514 Patents Issued To-Date
  • 30.47 % Issued To-Date
Click to zoom InYear of Issuance% of Matters IssuedCumulative IssuancesYearly Issuances20222023202420250255075100

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Koupanou, Natalia London, GB 1 0

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Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges11654401 - 10050100150200250300350400450500550600650700750800850900950100010501100115012001250

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